AI Fundamentals & Best Practices in Powertrain and Development
The automotive industry is under increasing pressure to deliver innovative, efficient, and sustainable drive systems in a shorter amount of time. AI can support engineering processes by improving simulation, testing, optimisation, and maintenance. In this workshop, we will explore how AI can be applied to powertrain development to reduce time to market and lower engineering costs. We will provide an overview supported by examples of how AI contributes to faster decision-making, fewer physical tests, and more efficient use of resources while maintaining high product quality.
Engineers and managers will get an overview of the basics of AI including concrete application examples during this AI-Workshop. The first segment lays out the fundamentals of AI, the different models and accompanying methods especially in machine learning. Different AI methods and their applications within drive systems and the drive system development process will be illustrated in the second segment. The topic of AI integration within an automotive company processes including the challenges and how to overcome them, will be addressed in the last segment.
